1.Relationship between fall and frailty index in elderly adults of urban community in Beijing.
B Y ZHOU ; D N YU ; Y K TAO ; J SHI ; P L YU
Chinese Journal of Epidemiology 2018;39(3):308-312
<b>Objective:b> To evaluate the frailty status and understand the relationship between the incidence of fall and frailty status in the elderly in Beijing. <b>Methods:b> A cross-sectional study was conducted in old people aged ≥60 years in Longtan community of Dongcheng district in Beijing from November 2015 to January 2016. The information about any fall during the past year and frailty status of the elderly were collected with a standardized structured questionnaire in face-to-face interviews. The frailty status of elderly people was assessed with frailty index (FI) method. Logistic regression analysis was used to explore the relationship between fall and frailty status among the elderly. <b>Results:b> Among 1 557 old people surveyed, the incidence of fall was 17.8% (277/1 557) during the past year. The incidence of fall in women (21.0%, 192/277) was statistically higher than that in men (13.3%, 85/277) (χ(2)=15.288, P=0.000). The median (quartile) value of FI of the elderly surveyed was 0.09 (0.08); and women had a higher FI median value than men [0.10 (0.08) versus 0.08 (0.07)](Z=5.376, P=0.000). The median FI value (quartile range) of 277 old people with history of fall in previous year was 0.12 (0.11), which was higher than the median FI value of 0.08 (0.07) of 1 280 old people without fall history (Z=7.501, P=0.000). Logistic regression analysis showed that higher FI value was associated with more risks for fall; and FI value showed the greatest impact on the incidence and frequency of fall (OR=1.093, 2.234) compared with other related factors of fall, such as age and gender. <b>Conclusion:b> Frailty status has a greater impact on both incidence and frequency of fall compared with other factors in elderly people in Beijing; more attention should be paid to weak and old adults in the prevention of fall.
Accidental Falls/statistics & numerical data*
;
Adult
;
Aged
;
Beijing
;
Cross-Sectional Studies
;
Female
;
Frail Elderly
;
Frailty
;
Geriatric Assessment
;
Humans
;
Incidence
;
Male
;
Urban Population
2.Differences on geographic distribution of rabies virus lineages in China.
Q WANG ; M L LI ; Y CHEN ; B WANG ; X Y TAO ; W Y ZHU
Chinese Journal of Epidemiology 2018;39(4):491-494
<b>Objective:b> To study the lineages of rabies virus and the epidemic characteristics in different provincial populations of China, to provide information for the development of control and prevention measures in each respective provinces. <b>Methods:b> Full length N and G genes and full-genome of epidemic strains of rabies virus collected in China were downloaded from GenBank and combined with newly sequenced strains by our lab. Each strain was classified under six lineages of China rabies by constructing phylogenetic trees based on the N or G sequences. Numbers of strains and lineages in each province were counted and compared. <b>Results:b> Six lineages (China Ⅰ-Ⅵ) were prevalent in China, with 4 found in Yunnan and Hunan. In 6 provinces, including Henan and Fujian, 3 lineages were found. In 8 provinces, including Shanghai and Jiangxi, 2 lineages were found Only 1 lineage, were found in Beijing, Tianjin and other 12 provinces. the China Ⅰ, was the dominant one in 25 provinces. In recent years, China Ⅲ had been found in wild animals and spread over livestock in Inner Mongolia and Xinjiang areas. Qinghai and Tibet had been influenced by China Ⅳ, which also been found in wild animals of Inner Mongolia and Heilongjiang. <b>Conclusion:b> There had been obvious differences in lineages and strain numbers of rabies virus identified in different provinces in China.
Animals
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China/epidemiology*
;
Humans
;
Phylogeny
;
Rabies/epidemiology*
;
Rabies virus
;
Tibet
3.Risk of bias assessment: (7) Assessing Bias in Studies of Prognostic Factors.
S W TANG ; Y ZHANG ; B L TAO ; Z R YANG ; F SUN ; S Y ZHAN
Chinese Journal of Epidemiology 2018;39(7):1003-1008
This paper introduces the tools related to Quality In Prognosis Studies (QUIPS) to assess the risk of bias in studies of prognostic factors and the relevant points of assessment and to illustrate the application of QUIPS in published prognostic research. The QUIPS tool identified 6 important areas to consider when evaluating validity and bias in studies of prognostic factors including participation, attrition, measurement on prognostic factors, outcomes, confounding factors, statistical analysis and reporting. It also provided a new method for evaluation on bias in the areas of prognostic research.
Bias
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Humans
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Prognosis
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Quality Improvement
;
Research Design
4.Potential interaction effect on attention-deficit/hyperactivity disorder between mother's educational level and preschoolers' dietary pattern.
S Q YAN ; H CAO ; C L GU ; G P GAO ; L L NI ; H H TAO ; T SHAO ; Y Q XU ; F B TAO
Chinese Journal of Epidemiology 2018;39(4):464-468
<b>Objective:b> To explore the interaction effect between mother's educational level and preschoolers' dietary pattern on attention-deficit/hyperactivity disorder (ADHD). <b>Methods:b> In 2014, there were 16 439 children aged 3-6 years old from 91 kindergartens in Ma'anshan municipality of China. A semi-quantitative food frequency questionnaire and the 10-item Chinese version of the Conners' Abbreviated Symptom Questionnaire (C-ASQ) were administered to assess the usual dietary intake and symptoms on ADHD. Social-demographic information was collected through questionnaires. Unconditional logistic regression was used to analyze the multiplication interaction effect between mother's educational level and preschoolers' dietary pattern on ADHD. Excel software was used to analyze the additive interaction effect of mother's educational level and preschoolers'dietary pattern on ADHD. <b>Results:b> Results showed that factors as: mother's low educational level[aOR=1.31 (1.13-1.52)], scores related to preschoolers in the top quintile of "food processing" [aOR=1.31 (1.16-1.48)] and "snack" [aOR=1.45 (1.29-1.63)]patterns showed greater odds while preschoolers in the top quintile of "vegetarian" [aOR=0.80 (0.71-0.90)]showed less odds for having ADHD symptoms. Both multiplication and additive interactions were observed between mothers with less education. The processed dietary patterns (OR=1.17, 95%CI: 1.11-1.25), relative excess risk of interaction (RERI), attributable proportion (AP) and the interaction index (SI) appeared as 0.21, 0.13 and 1.47, respectively. Multiplication interaction was observed between levels of mother's low education and the snack dietary pattern (OR=1.21, 95%CI: 1.14-1.29), with RERI, AP and SI as 0.49, 0.26 and 2.36, respectively. However, neither multiplication interaction or additive interaction was noticed between levels of mother's low education and the vegetarian dietary pattern (OR=0.97, 95%CI: 0.92-1.03), with RERI, AP and SI as 0.09, 0.05 and 1.15, respectively. <b>Conclusions:b> Levels of mother's low education presented a risk factor for ADHD symptoms in preschool children. Both multiplication interaction and additive interaction were observed between mother's low education levels and the processed dietary pattern. Multiplication interaction was noticed between mother's education levels and the snack dietary pattern but not with the vegetarian dietary pattern.
Attention Deficit Disorder with Hyperactivity/epidemiology*
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Child
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Child Nutritional Physiological Phenomena
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Child, Preschool
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China
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Diet
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Educational Status
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Feeding Behavior
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Female
;
Humans
;
Logistic Models
;
Mothers
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Risk Factors
;
Surveys and Questionnaires
5.Pregnancy-related anxiety associated with small-for-gestational-age infants.
Y P LAI ; S Q YAN ; K HUANG ; M L CHEN ; J H HAO ; L J MAO ; Y YOU ; F B TAO
Chinese Journal of Epidemiology 2018;39(10):1329-1332
<b>Objective:b> To investigate the second or third trimester pregnancy-related anxiety on small-for-gestational-age infants. <b>Methods:b> This study was based on Ma'anshan Birth Cohort Study (MABC), with 3 040 maternal-singleton pairs finally selected for data analysis, from May 2013 to September 2014. The psychological state of pregnancy was evaluated according to a self-developed 'anxiety scale for gestation'. Small-for-gestational-age was defined as 'having birth weight below the 10(th) percentile at a particular gestational week', while large-for-gestational-age infants was defined as 'having birth weight above the 90(th) percentile'. Birth weight between the 10(th) and 90(th) percentile was classified as appropriate-for-gestational age infants. χ(2) test was used to compare the distribution of characteristics in pregnancy among three groups with different birth weights. Multivariate logistic regression models were conducted to evaluate the associations between third trimester pregnancy- related anxiety and birth weight. <b>Results:b> The incidence rates of small- and large-gestational-age infants were 9.6% and 16.6%, respectively. Difference between women with only one of the second or third trimester pregnancy-related anxiety syndromes and small-for-gestational-age infants showed no statistical significance. Women with both second and third trimester pregnancy-related anxieties might increase the risk of small-for-gestational-age infants (OR=1.39, 95%CI: 1.04-1.87). However, there was no significant difference between pregnancy-related anxiety and large-for- gestational-age infants (OR=1.05, 95%CI: 0.81-1.35) noticed. <b>Conclusion:b> Women with second and third trimester pregnancy-related anxiety appeared a risk factor for small-for-gestational-age infants.
Anxiety/psychology*
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Birth Weight
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China/epidemiology*
;
Cohort Studies
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Female
;
Gestational Age
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Humans
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Infant
;
Infant, Newborn
;
Infant, Small for Gestational Age
;
Pregnancy
;
Pregnancy Complications/psychology*
;
Pregnancy Trimester, Third/psychology*
6.Interactive effects between health literacy and mobile phone dependence as well as its relation with unintentional injuries in middle school students.
S C ZHANG ; R YANG ; D L LI ; J WANG ; Y H WAN ; S J XU ; H L XU ; S S MA ; W WANG ; H J ZENG ; H Q XU ; F B TAO
Chinese Journal of Epidemiology 2018;39(12):1549-1554
<b>Objective:b> To investigate the interaction between health literacy, mobile phone dependence and unintentional injuries in middle school students, and to provide guidance for prevention on unintentional injuries in adolescents. <b>Methods:b> From November 2015 to January 2016, a questionnaire survey was conducted among 22 628 middle school students in Shenyang of Liaoning province, Bengbu of Anhui province, Xinxiang of Henan province, Ulanqab of Inner Mongolia Autonomous Region, Chongqing and Yangjiang of Guangdong province. Chinese Adolescent Interactive Health Literacy Questionnaire (CAIHLQ), Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU), and Unintentional Injuries Assessment Scale and demographic variables were used to measure the health literacy, mobile phone dependence and unintentional injuries among the Chinese middle school students. <b>Results:b> The detection rates of mobile phone dependence and unintentional injuries were 25.4% and 46.7%, respectively. The rates of unintentional injuries of middle school students with mobile phone dependence and with low, medium and high health literacy were 53.6%, 44.4% and 48.8%, 48.1%, 41.7%. Factors as mobile phone dependence, low and middle health literacy were positively related to unintentional injuries (OR=1.452, 1.196, 1.364). However, the multiplicative interaction between mobile phone dependence and health literacy on unintentional injuries was noticed significant (OR=1.217, 95%CI: 1.041-1.422). <b>Conclusions:b> Our results showed that the prevalence of unintentional injuries was relatively high in middle school students. Health literacy and mobile phone dependence seemed related to unintentional injuries. Interaction between health literacy and mobile phone dependence on unintentional injuries appeared significant.
Adolescent
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Cell Phone
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China
;
Female
;
Health Literacy
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Humans
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Male
;
Students
;
Surveys and Questionnaires
7.Study on the relationship of thallium exposure and outcomes of births.
J QI ; C M LIANG ; S Q YAN ; Z J LI ; J LI ; K HUANG ; H Y XIANG ; Y R TAO ; J H HAO ; S L TONG ; F B TAO
Chinese Journal of Epidemiology 2018;39(8):1112-1116
<b>Objective:b> To investigate the relationship of thallium exposure and outcomes of births. <b>Methods:b> A total of 3 236 mothers who had visited in Ma'anshan Maternal and Child Health-Care Hospital between May 2013 and September 2014 were included in this study and their thallium concentrations measured from samples of maternal and umbilical cord blood by inductively coupled plasma mass spectrometry. The results were correlated and evaluated with birth outcomes of the infants, using the multiple linear regression method. <b>Results:b> The median (P(25)-P(75)) of thallium levels in first trimester, second trimester and umbilical cord blood were 61.7 (50.8-77.0), 60.3 (50.8-75.2) and 38.5 (33.6-44.1) ng/L, respectively. After adjustment for potential confounders, the thallium levels showed an inversely significant association with birth head circumference (unstandardized β coefficient=-0.41, 95%CI: -0.76- -0.06) in the first trimester blood, and associated with reduced birth length (unstandardized β coefficient=-0.65, 95%CI: -1.25- -0.05) in umbilical cord blood. However, there appeared no significantly associations with birth weight, length and head circumference (P>0.05) in second trimester. On stratification by sex, in girls but not in boys, the thallium levels were adversely associated with birth head circumference (unstandardized β coefficient=-0.53, 95%CI: -1.05--0.01) in the first trimester and were associated with decreased birth weight (unstandardized β coefficient=-277.08, 95%CI: -485.13- -69.03) and length (unstandardized β coefficient=-1.39, 95%CI: -2.26- -0.53) in umbilical cord blood thallium. <b>Conclusions:b> Thallium exposure appeared a gender difference in newborn birth outcomes. In the first trimester, it was negatively associated with the birth head circumference, in the umbilical cord blood, and reduced birth weight and length in girls.
Adult
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Birth Weight
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Environmental Pollutants/blood*
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Female
;
Fetal Blood/metabolism*
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Fetus/metabolism*
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Humans
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Infant, Newborn
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Male
;
Maternal Exposure
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Parturition
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Pregnancy
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Pregnancy Outcome/epidemiology*
;
Thallium/blood*
8.Exposure to bisphenol A during maternal pregnancy and the emotional and behavioral impact on their preschool children.
X CHEN ; H H BAO ; W K WU ; S Q YAN ; J SHENG ; Y Y XU ; C L GU ; K HUANG ; H CAO ; P Y SU ; F B TAO ; J H HAO
Chinese Journal of Epidemiology 2018;39(2):188-193
<b>Objective:b> To explore the long-term effects of maternal pregnancy bisphenol A (BPA) exposure on emotional and behavioral problems appeared in their preschool children. <b>Methods:b> The study sample was a subset of the China-Anhui Birth Cohort Study (C-ABCS). A unified questionnaire was used to collect basic information on both pregnant women and their children. Free BPA concentration in maternal serum was determined by high-performance liquid chromatographytandem mass spectrometry (HPLC-MS/MS). The parent-report version of the Strengths and Difficulties Questionnaire (SDQ) was used to estimate the emotional and behavioral problems in preschool children. A total of 1 713 pairs of mothers and children were included in this study. Association between BPA exposure during pregnancy and the emotional and behavioral problems in preschool children was evaluated with multinomial logistic regression model. <b>Results:b> Prevalence rates in 1 713 preschool children appeared as: 6.48% of emotional problems, 8.11% for conduct problems, 8.35% for hyperactivity/inattention, 2.86% for peer problems, 11.38% for prosocial behaviors and 7.94% for total difficulties. Subjects were divided according to the degrees of exposure and the results showed as: low exposure group (≤0.120 ng/ml), medium exposure group (0.120
Benzhydryl Compounds/toxicity*
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Child Behavior Disorders/etiology*
;
Child, Preschool
;
China/epidemiology*
;
Cohort Studies
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Emotions/physiology*
;
Environmental Exposure
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Environmental Pollutants
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Female
;
Gas Chromatography-Mass Spectrometry
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Humans
;
Male
;
Maternal Exposure
;
Mothers
;
Phenols/toxicity*
;
Pregnancy
;
Prenatal Exposure Delayed Effects
;
Prevalence
;
Risk Factors
;
Surveys and Questionnaires
;
Tandem Mass Spectrometry
9.DPHL:A DIA Pan-human Protein Mass Spectrometry Library for Robust Biomarker Discovery
Zhu TIANSHENG ; Zhu YI ; Xuan YUE ; Gao HUANHUAN ; Cai XUE ; Piersma R. SANDER ; Pham V. THANG ; Schelfhorst TIM ; Haas R.G.D. RICHARD ; Bijnsdorp V. IRENE ; Sun RUI ; Yue LIANG ; Ruan GUAN ; Zhang QIUSHI ; Hu MO ; Zhou YUE ; Winan J. Van Houdt ; Tessa Y.S. Le Large ; Cloos JACQUELINE ; Wojtuszkiewicz ANNA ; Koppers-Lalic DANIJELA ; B(o)ttger FRANZISKA ; Scheepbouwer CHANTAL ; Brakenhoff H. RUUD ; Geert J.L.H. van Leenders ; Ijzermans N.M. JAN ; Martens W.M. JOHN ; Steenbergen D.M. RENSKE ; Grieken C. NICOLE ; Selvarajan SATHIYAMOORTHY ; Mantoo SANGEETA ; Lee S. SZE ; Yeow J.Y. SERENE ; Alkaff M.F. SYED ; Xiang NAN ; Sun YAOTING ; Yi XIAO ; Dai SHAOZHENG ; Liu WEI ; Lu TIAN ; Wu ZHICHENG ; Liang XIAO ; Wang MAN ; Shao YINGKUAN ; Zheng XI ; Xu KAILUN ; Yang QIN ; Meng YIFAN ; Lu CONG ; Zhu JIANG ; Zheng JIN'E ; Wang BO ; Lou SAI ; Dai YIBEI ; Xu CHAO ; Yu CHENHUAN ; Ying HUAZHONG ; Lim K. TONY ; Wu JIANMIN ; Gao XIAOFEI ; Luan ZHONGZHI ; Teng XIAODONG ; Wu PENG ; Huang SHI'ANG ; Tao ZHIHUA ; Iyer G. NARAYANAN ; Zhou SHUIGENG ; Shao WENGUANG ; Lam HENRY ; Ma DING ; Ji JIAFU ; Kon L. OI ; Zheng SHU ; Aebersold RUEDI ; Jimenez R. CONNIE ; Guo TIANNAN
Genomics, Proteomics & Bioinformatics 2020;18(2):104-119
To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.